Hierarchical Optimization Scheduling of Combined Heat and Power Microgrid for Photothermal Power Station Considering Demand Response

Chaowen ZUO; Fanyun WANG; Jie CHEN

doi:10.16513/j.2096-2185.DE.2409207

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Distributed Energy ›› 2024, Vol. 9 ›› Issue (2) : 63-73. DOI: 10.16513/j.2096-2185.DE.2409207

Application Technology

Hierarchical Optimization Scheduling of Combined Heat and Power Microgrid for Photothermal Power Station Considering Demand Response

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Abstract

A hierarchical optimization scheduling model considering the coordination between demand response, the photothermal power stations, and electric heaters is proposed for the optimization scheduling problem of a cogeneration microgrid for a photothermal power station. In the upper-level model, the load curve is divided using the moving boundary method, and electricity prices are solved at different time periods with the goal of minimizing the difference between renewable energy and load. The lower-level model aims to minimize the scheduling cost of the microgrid. Considering the inability of wind and photovoltaic power alone to meet load demands, etc, the model also includes the regulation scheduling of the photothermal power station and controllable power sources. An economic dispatch optimization model based on mixed-integer linear programming is established, incorporating the coordinated scheduling of the photothermal power stations, demand response, and electric heaters. The effectiveness and rationality of the proposed method are verified through a practical case.

Key words

moving boundary method / optimization of time-of-use electricity price / photothermal power station / hierarchical optimization scheduling

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Chaowen ZUO , Fanyun WANG , Jie CHEN. Hierarchical Optimization Scheduling of Combined Heat and Power Microgrid for Photothermal Power Station Considering Demand Response[J]. Distributed Energy Resources. 2024, 9(2): 63-73 https://doi.org/10.16513/j.2096-2185.DE.2409207

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